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DBMS > Blueflood vs. DataFS vs. EsgynDB vs. RisingWave

System Properties Comparison Blueflood vs. DataFS vs. EsgynDB vs. RisingWave

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Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonDataFS  Xexclude from comparisonEsgynDB  Xexclude from comparisonRisingWave  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandraAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA distributed RDBMS for stream processing, wire-compatible with PostgreSQL
Primary database modelTime Series DBMSObject oriented DBMSRelational DBMSRelational DBMS
Secondary database modelsGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#346  Overall
#33  Time Series DBMS
Score0.09
Rank#360  Overall
#18  Object oriented DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score0.64
Rank#238  Overall
#110  Relational DBMS
Websiteblueflood.ionewdatabase.comwww.esgyn.cnwww.risingwave.com/­database
Technical documentationgithub.com/­rax-maas/­blueflood/­wikidev.mobiland.com/­Overview.xspdocs.risingwave.com/­docs/­current/­intro
DeveloperRackspaceMobiland AGEsgynRisingWave Labs
Initial release2013201820152022
Current release1.1.263, October 20221.2, September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, JavaRust
Server operating systemsLinux
OS X
WindowsLinuxDocker
Linux
macOS
Data schemepredefined schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesyes
Typing infopredefined data types such as float or dateyesyesyesStandard SQL-types and JSON
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nononono
Secondary indexesnonoyesyes
SQL infoSupport of SQLnonoyesyes
APIs and other access methodsHTTP REST.NET Client API
Proprietary client DLL
WinRT client
ADO.NET
JDBC
ODBC
JDBC
PostgreSQL wire protocol
Supported programming languages.Net
C
C#
C++
VB.Net
All languages supporting JDBC/ODBC/ADO.NetGo
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoJava Stored ProceduresUDFs in Python or Java
Triggersnono, except callback-events from server when changes happenednono
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraProprietary Sharding systemSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraMulti-source replication between multi datacenters
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
User concepts infoAccess controlnoWindows-Profilefine grained access rights according to SQL-standardUsers and Roles

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More resources
BluefloodDataFSEsgynDBRisingWave
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